Compounding Injustice: History and Prediction in Carceral Decision-Making. - Benjamin Laufer (CoRR, 2020)

Feedback Effects in Repeat-Use Criminal Risk Assessments. - Benjamin Laufer (CoRR, 2020)

Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning. - A. Feder Cooper; Emanuel Moss; Benjamin Laufer; Helen Nissenbaum (FAccT, 2022)

Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects. - Benjamin Laufer; Sameer Jain; A. Feder Cooper; Jon M. Kleinberg; Hoda Heidari (FAccT, 2022)

Collective Obfuscation and Crowdsourcing. - Benjamin Laufer; Niko A. Grupen (CoRR, 2022)

Strategic Evaluation. - Benjamin Laufer; Jon M. Kleinberg; Karen Levy; Helen Nissenbaum (EAAMO, 2023)

Optimization's Neglected Normative Commitments. - Benjamin Laufer; Thomas Krendl Gilbert; Helen Nissenbaum (FAccT, 2023)

Strategic Evaluation: Subjects, Evaluators, and Society. - Benjamin Laufer; Jon M. Kleinberg; Karen Levy; Helen Nissenbaum (CoRR, 2023)

Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models. - Benjamin Laufer; Jon M. Kleinberg; Hoda Heidari (WWW, 2024)

Fundamental Limits in the Search for Less Discriminatory Algorithms - and How to Avoid Them. - Benjamin Laufer; Manisch Raghavan; Solon Barocas (CoRR, 2024)

What Constitutes a Less Discriminatory Algorithm? - Benjamin Laufer; Manish Raghavan; Solon Barocas (CSLAW, 2025)

The Backfiring Effect of Weak AI Safety Regulation. - Benjamin Laufer; Jon M. Kleinberg; Hoda Heidari (CoRR, 2025)

Bridging Prediction and Intervention Problems in Social Systems. - Lydia T. Liu; Inioluwa Deborah Raji; Angela Zhou; Luke Guerdan; Jessica Hullman; Daniel Malinsky; Bryan Wilder; Simone Zhang; Hammaad Adam; Amanda Coston; Benjamin Laufer; Ezinne Nwankwo; et al. (CoRR, 2025)

A Formal Model of the Economic Impacts of AI Openness Regulation. - Tori Qiu; Benjamin Laufer; Jon M. Kleinberg; Hoda Heidari (CoRR, 2025)